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std::discrete_distribution::discrete_distribution

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Generación de números pseudoaleatorios
Motores y adaptadores de motor
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Engines and engine adaptors
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Generadores
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Generators
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Distribuciones
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Distributions
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Distribuciones uniformes
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Uniform distributions
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Bernoulli distributions
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Poisson distributions
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Normal distributions
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C library
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std::discrete_distribution
Las funciones miembro
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Member functions
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discrete_distribution::discrete_distribution
Generación
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Generation
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Características
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Characteristics
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Terceros funciones
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Non-member functions
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discrete_distribution();
 (1) (desde C++11)
template< class InputIt >
discrete_distribution( InputIt first, InputIt last );
 (2) (desde C++11)
discrete_distribution( std::initializer_list<double> weights );
 (3) (desde C++11)
template< class UnaryOperation >

discrete_distribution( std::size_t count, double xmin, double xmax,

                       UnaryOperation unary_op );
 (4) (desde C++11)
explicit discrete_distribution( const param_type& params );
 (2) (desde C++11)
Construye un objeto nuevo reparto .
Original:
Constructs a new distribution object.
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1)
Por defecto constructor. Construye la distribución con pesos. Esta distribución siempre ​0​ generar .
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Default constructor. Constructs the distribution with weights . This distribution will always generate ​0​.
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2)
Construye la distribución de pesos en el [first, last) rango. Si first == last, los efectos son los mismos que de la constructor predeterminado .
Original:
Constructs the distribution with weights in the range [first, last). If first == last, the effects are the same as of the default constructor.
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3)
Constructos de la distribución con los pesos en weights. Efectivamente llama initializer_list(weigths.begin(), weights.end()) .
Original:
Constructs the distribution with weights in weights. Effectively calls initializer_list(weigths.begin(), weights.end()).
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4)
Constructos de la distribución con pesos count que se generan utilizando unary_op función. Cada uno de los pesos es igual a w
i = unary_op(xmin + δ/2 + i · δ), donde δ =
(xmax − xmin)
count
 y i ∈ {0, ..., count−1}. xmin y xmax debe ser tal que δ > 0. Si count == 0 los efectos son los mismos que de la constructor predeterminado .
Original:
Constructs the distribution with count weights that are generated using function unary_op. Each of the weights is equal to w
i = unary_op(xmin + δ/2 + i · δ), where δ =
(xmax − xmin)
count
 and i ∈ {0, ..., count−1}. xmin and xmax must be such that δ > 0. If count == 0 the effects are the same as of the default constructor.
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5)
Constructos de la distribución con params como los parámetros de distribución .
Original:
Constructs the distribution with params as the distribution parameters.
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Parámetros

first, last -
la gama de elementos que definen los números a utilizar como pesos. El tipo de los elementos mencionados por InputIterator debe ser convertible a double
Original:
the range of elements defining the numbers to use as weights. The type of the elements referred by InputIterator must be convertible to double
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weights -
inicializador lista que contiene los pesos
Original:
initializer list containing the weights
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unary_op - Objeto función de operación unaria que se aplicará.

La signatura de la función deberá ser equivalente a lo siguiente:

 Ret fun(const Type &a);

La signatura no necesita tener const &.
El tipo Type debe ser tal que un objeto del tipo double puede ser desreferenciado y entonces convertido implícitamente a Type. El tipo Ret debe ser tal que un objeto de tipo double puede ser desreferenciado y asignado un valor de tipo Ret. ​

params -
el parámetro de distribución establecido
Original:
the distribution parameter set
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Requisitos de tipo
-
InputIt debe reunir los requerimientos de InputIterator.
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